A multi-feature image retrieval scheme for pulmonary nodule diagnosis

Author:

Wei Guohui,Qiu Min,Zhang Kuixing,Li Ming,Wei Dejian,Li Yanjun,Liu Peiyu,Cao Hui,Xing Mengmeng,Yang Feng

Funder

National Natural Science Foundation of China

Collaborative Innovation Center for Modern Science and Technology and Industrial Development of Jiangxi Traditional Medicine

Shandong medical health Technology Development Plan

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference25 articles.

1. Cancer statistics, 2018;Siegel;Ca-Cancer J Clin,2018

2. Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT;Xie;Inform Fusion,2017

3. A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists;Kawagishi;Int J Comput Ass Rad,2017

4. Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features;Way;Med Phys,2009

5. Texture feature analysis for computer-aided diagnosis on pulmonary nodules;Han;J Digit Imaging,2015

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